Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

An Efficient Test for Gene-Environment Interaction in Generalized Linear Mixed Models with Family Data.

International journal of environmental research and public health - 27 Sept 2017

Mazo Lopera Mauricio A, Coombes Brandon J, de Andrade Mariza

Abstract excerpt

Gene-environment (GE) interaction has important implications in the etiology of complex diseases that are caused by a combination of genetic factors and environment variables. Several authors have developed GE analysis in the context of independent subjects or longitudinal data using a gene-set. In this paper, we propose to analyze GE interaction for discrete and continuous phenotypes in family studies by...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Family
Share to Gene-Environment Interaction

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to PPARG gene

Share to Linear Models

Share to Linkage Disequilibrium

Share to Models, Genetic

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 28953253
DOI: 10.3390/ijerph14101134
PMCID: PMC5664635

Genes

PPARG

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

An Efficient Test for Gene-Environment Interaction in Generalized Linear Mixed Models with Family Data.PMID 28953253Read ↗

A unified method for rare variant analysis of gene-environment interactions.Semantic proximity Read ↗

Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients.Semantic proximity Read ↗

Statistical methods for association tests of multiple continuous traits in genome-wide association studies.Semantic proximity Read ↗

Gene-based testing of interactions in association studies of quantitative traits.Semantic proximity Read ↗

LDER-GE estimates phenotypic variance component of gene-environment interactions in human complex traits accurately with GE interaction summary statistics and full LD information.Semantic proximity Read ↗

Exploring multivariate gene-environment interactions : models and applicationsSemantic proximity Read ↗

LDER-GE estimates phenotypic variance component of gene-environment interactions in human complex traits accurately with GE interaction summary statistics and full LD informationSemantic proximity Read ↗

Update on the State of the Science for Analytical Methods for Gene-Environment Interactions.Semantic proximity Read ↗

An approach to identify gene-environment interactions and reveal new biological insight in complex traits.Semantic proximity Read ↗

GEM: scalable and flexible gene-environment interaction analysis in millions of samples.Semantic proximity Read ↗

Joint genetic analysis using variant sets reveals polygenic gene-context interactionsSemantic proximity Read ↗

Incorporating additive genetic effects and full LD information to discover genome-level gene-environment interactions with summary statistics of complex traitsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.